Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
5.2.7. sammba.data_fetchers.fetch_lemur_mircen_2019_t2¶
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sammba.data_fetchers.fetch_lemur_mircen_2019_t2(subjects=[0], data_dir=None, url=None, resume=True, verbose=1)¶ Download and loads the mouse lemur template dataset.
- Parameters
subjects : sequence of int or None, optional
ids of subjects to load, default to loading one subject.
data_dir : string, optional
Path of the data directory. Used to force data storage in a specified location. Default: None
resume : bool, optional (default True)
If true, try resuming download if possible.
verbose : int, optional (default 0)
Defines the level of verbosity of the output.
- Returns
data : sklearn.datasets.base.Bunch
Dictionary-like object, the interest attributes are :
‘anat’: string list. Paths to T2-weighted images.
‘phenotypic’: Participants genders, birth dates and MRI scan dates
References
- Download
https://openneuro.org/datasets/ds001945/versions/1.0.0/download
- Reference
A 3D population-based brain atlas of the mouse lemur primate with examples of applications in aging studies and comparative anatomy. Neuroimage 185 (2019): 85-95. N. A. Nadkarni, S. Bougacha, C. Garin, M. Dhenain, and J. L. Picq.